Image Generation
Claude
Tested Prompt
Reviewed by Sushil Joshi
Backgroundelements Deep Red Velvet Chairs | HowToWritePrompt
A structured Image Generation prompt optimized for claude. Utilizes a 85mm optical perspective and Volumetric golden-hour rim light at 3800K with soft atmospheric haze to produce crisp, high-detail results without artificial smoothing.
Master Prompt Template
Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: background_elements"": [""Deep red velvet chairs. Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out, Straight-on symmetrical frontal angle, captured on 85mm portrait prime lens, Volumetric golden-hour rim light at 3800K with soft atmospheric haze, natural surface physics, 8K ultra-detailed editorial photography --ar 16:9
Interactive Variable Customizer
Tweak dynamic parameters below to compile a custom prompt tailored specifically to your needs:
Prompt Architecture & Anatomy
### 📐 Structured Prompt Anatomy
- **Subject Definition**: Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: background_elements"": [""Deep red velvet chairs. Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out
- **Framing & Shot Type**: Full-body dynamic shot (Straight-on symmetrical frontal angle)
- **Optics & Focal Intent**: 85mm portrait prime lens at f/1.4 ultra-shallow depth of field with creamy background separation
- **Lighting Atmosphere**: Volumetric golden-hour rim light at 3800K with soft atmospheric haze
- **Color Grading**: Moody desaturated ambient palette with warm practical accents
- **Model Constraints**: Preserves natural skin texture; avoids oversaturated smoothing.
💡 **How To Customize**: Replace `{SUBJECT}` with your exact character or scene, or switch the Aspect Ratio to `9:16` for mobile reels and wallpaper formats.
- **Subject Definition**: Context: General knowledge context requiring accurate, well-structured information. Objective: Comprehensive, exhaustive response to: background_elements"": [""Deep red velvet chairs. Style: Structured and thorough — use headers, numbered steps, and examples. Tone: Expert and authoritative, but accessible. Audience: Informed general audience comfortable with technical terms. Response: Headers for each major section. Bullet points for supporting details. Cover background context, step-by-step process, technical specifications, examples, edge cases, common mistakes, best practices. Leave nothing out
- **Framing & Shot Type**: Full-body dynamic shot (Straight-on symmetrical frontal angle)
- **Optics & Focal Intent**: 85mm portrait prime lens at f/1.4 ultra-shallow depth of field with creamy background separation
- **Lighting Atmosphere**: Volumetric golden-hour rim light at 3800K with soft atmospheric haze
- **Color Grading**: Moody desaturated ambient palette with warm practical accents
- **Model Constraints**: Preserves natural skin texture; avoids oversaturated smoothing.
💡 **How To Customize**: Replace `{SUBJECT}` with your exact character or scene, or switch the Aspect Ratio to `9:16` for mobile reels and wallpaper formats.
Laboratory Tested & Verified
Tested on 21 August 2026Target Environment: Anthropic Claude (3.5 Sonnet)
✓ High surface detail
✓ Balanced natural lighting
△ Complex crowd composition requires higher step count
Curated & Tested by Sushil Joshi
Lead AI Prompt Engineer at HowToWritePrompt. Specializing in deterministic prompting, LLM parameters, and optical photorealism.